[defrost]

All that you said with a heavy dash of good data visualisation is more of a skill and an artform than many people realise.

I've had four decades of crunching numbers in a variety of Engineering, Geophysics, and science applications with a hefty amount of public consulting on a variety of applications and of the large population of those good at gathering and recording data perhaps only 20% had that extra talent for good visualisation to convey meaning without distortion.

[ctxc]

Are there resources or good examples you would recommend?

[yummypaint]

There is a book called. "how to lie with statistics" by Huff that should probably be required reading for everyone. It's not very technical and a pretty quick read

[frederikb]

I really enjoyed Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic. The author really breaks down the individual elements of good/bad visualizations using case studies with lots of actionable advice. Highly recommended.

[armagon]

I liked "Signal: Understanding What Matters in a World of Noise" by Stephen Few.

[mif]

https://www.dataviz-inspiration.com/